Univariate and multivariate logistic regression analysis of different demographic and background variables associated with prognosis of enrolled complicated malaria patients admitted at Maharani Hospital Jagdalpur, Chhattisgarh, India.
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Fatal form of complicated malaria (n = 62) was coded as 1 and non fatal complicated malaria (n = 160) as 0. Similarly two groups of an independent variable were also coded as “0” and “1”. The outcome of 8 cerebral malaria (CM) and 2 severe malaria (SM) patients is unknown. Ref = Reference for odds ratios; CI = Confidence interval; N/A = Not applicable. Variables which were significant in univariate analysis (p∼0.1) were taken in multivariate analysis). Complicated malaria included 168 CM and 54 SM (non cerebral) cases with known outcomes.Univariate and multivariate logistic regression analysis of different demographic and background variables associated with prognosis of enrolled complicated malaria patients admitted at Maharani Hospital Jagdalpur, Chhattisgarh, India.
将62例致死性复杂型疟疾(complicated malaria)编码为1,160例非致死性复杂型疟疾编码为0。同理,自变量的两组亦分别编码为"0"与"1"。另有8例脑型疟疾(cerebral malaria, CM)及2例重型疟疾(severe malaria, SM)患者的转归未知。注:Ref为比值比(Odds Ratios)的参照标准;CI为置信区间(Confidence Interval);N/A为不适用(Not Applicable)。将单因素分析中P值约为0.1(p∼0.1)的显著变量纳入多因素分析。已知转归的复杂型疟疾病例包含168例脑型疟疾与54例(非脑型)重型疟疾病例。本研究针对印度恰蒂斯加尔邦贾格达尔普尔市马哈拉尼医院收治的入组复杂型疟疾患者,对与其预后相关的各类人口学特征及基础背景变量开展单因素与多因素logistic回归分析。



